On the Validity of the Regression Discontinuity Design for Estimating Electoral Effects: New Evidence from Over 40,000 Close Races

被引:215
|
作者
Eggers, Andrew C. [1 ]
Fowler, Anthony [2 ]
Hainmueller, Jens [3 ,4 ]
Hall, Andrew B. [5 ]
Snyder, James M. [6 ,7 ]
机构
[1] London Sch Econ, Dept Govt, London WC2A 2AE, England
[2] Univ Chicago, Harris Sch Publ Policy Studies, Chicago, IL 60637 USA
[3] Stanford Univ, Dept Polit Sci, Stanford, CA 94305 USA
[4] Stanford Univ, Grad Sch Business, Stanford, CA 94305 USA
[5] Harvard Univ, Dept Govt, Cambridge, MA 02138 USA
[6] Harvard Univ, Cambridge, MA 02138 USA
[7] Natl Bur Econ Res, Cambridge, MA 02138 USA
关键词
US-HOUSE; INCUMBENCY ADVANTAGE; RANDOMIZED EXPERIMENTS; ECONOMIC OUTCOMES; PARTIES MATTER; ADJUSTMENT; ELECTIONS; PARTISANSHIP; INFERENCE; IMPACT;
D O I
10.1111/ajps.12127
中图分类号
D0 [政治学、政治理论];
学科分类号
0302 ; 030201 ;
摘要
The regression discontinuity (RD) design is a valuable tool for identifying electoral effects, but this design is only effective when relevant actors do not have precise control over election results. Several recent papers contend that such precise control is possible in large elections, pointing out that the incumbent party is more likely to win very close elections in the United States House of Representatives in recent periods. In this article, we examine whether similar patterns occur in other electoral settings, including the U.S. House in other time periods, statewide, state legislative, and mayoral races in the U.S. and national or local elections in nine other countries. No other case exhibits this pattern. We also cast doubt on suggested explanations for incumbent success in close House races. We conclude that the assumptions behind the RD design are likely to be met in a wide variety of electoral settings and offer a set of best practices for RD researchers going forward.
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页码:259 / 274
页数:16
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